Pentest Output Standards logo

Pentest Output Standards

OrganizationPopular
AIPentest
pentest-output-standards

输出规范:中文分析,思维链,漏洞报告模板,负结果,黑板状态总览,改动台账,死锁突破。 Use when reporting findings, maintaining change ledger, or formatting pentest output.

Overview

PublisherAIPentest
RepositoryCyberStrikeAI
Skill namepentest-output-standards
Stars
6.9K
Forks
1.2K
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by AIPentest on GitHub. Read the source before you install it.

Installation

Install the Pentest Output Standards AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/AIPentest/CyberStrikeAI.git /tmp/CyberStrikeAI
mkdir -p .claude/skills
cp -r /tmp/CyberStrikeAI/skills/pentest-output-standards .claude/skills/pentest-output-standards
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pentest Output Standards in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pentest Output Standards on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pentest Output Standards is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

输出规范

语言: 所有分析/推理/报告用中文,工具命令和代码用英文,CVE编号保留英文。
每步思维链: 当前模式(单代理/deep/plan_execute/supervisor) + 已读黑板要点 + 决策推理 + 执行 + 结果摘要
  + 是否已 upsert_project_fact / record_vulnerability。
漏洞报告(每个已验证 Fact/可交付项): 漏洞名+严重程度+影响版本+利用条件+利用步骤(请求/响应)+验证证据(✓实际输出)+影响+修复建议。
  → 同步 record_vulnerability;复现上下文另 upsert finding/chain/exploit/poc Fact。
负结果: 测试方法+结果+排除原因 → upsert 负结果 Fact,避免重复打点。
图状态总览(每轮结束): list/search_project_facts 摘要 + 当前进度 + 下一步;勿臆造未 get 的 body。
🚨改动台账(每处写入型改动实时记账,清不清交用户): #|时间|主机|类型|位置|内容|回滚命令
  类型:webshell/新建账户/改配置/持久化/权限改动(DCSync/RBCD/影子凭据)/申请凭据/数据库改动/网络改动
  改配置前先备份.bak把路径写进台账 | 交付输出完整台账+一键回滚脚本(逆序生成),系统绝不擅自清理。
  可选: note/change-* Fact 固化台账条目。
死锁突破(连续多轮负结果且无新攻击面): 强制 list/search_project_facts 重审 → 换域/深度狩猎 → 向用户请求澄清或授权边界。

Frequently asked questions

What does the Pentest Output Standards AI skill do?

输出规范:中文分析,思维链,漏洞报告模板,负结果,黑板状态总览,改动台账,死锁突破。 Use when reporting findings, maintaining change ledger, or formatting pentest output.

Why use Pentest Output Standards on TypingMind?

Because you install it once and use it with any model. Pentest Output Standards is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pentest Output Standards in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AIPentest/CyberStrikeAI/tree/main/skills/pentest-output-standards. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pentest Output Standards?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pentest Output Standards?

As many as you like. As long as a model supports skills, you can use Pentest Output Standards with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pentest Output Standards AI skill free?

Yes. It is published on GitHub by AIPentest under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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